ArticleObesity science & practice2018
Correlates and predictors of obesity-specific quality of life of former participants of a residential intensive lifestyle intervention.
Article in Obesity science & practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- A spatial obesity risk score for describing the obesogenic environment using kernel density estimation: development and parameter variation.BMC medical research methodology · 2023Article
- Shape Up Somerville's return on investment: Multi-group exposure generates net-benefits in a child obesity intervention.Preventive medicine reports · 2019Article
- Effects of weight loss intervention on body composition and blood pressure among overweight and obese women: findings from the MyBFF@home study.BMC women's health · 2018Article
- Correlates and predictors of obesity-specific quality of life of former participants of a residential intensive lifestyle intervention.Obesity science & practice · 2018Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The aim of this study was to investigate the relationship between weight loss during and after a unique type of weight loss intervention, namely, a residential intensive lifestyle intervention (ILI), and participants' obesity-specific health-related quality of life (HRQOL) several years after the intervention. In the residential ILI under investigation, participants attended a 10- to 12-week long course away from their daily living environment, namely, at Ubberup Folk High School located in Denmark. Methods: A total of 79 former participants (31 male, mean age 36.6; SD = 12.7 years) who had participated in the intervention on average 5.3 (SD = 3.2) years ago were recruited for this study. They completed a questionnaire on weight-related quality of life (IWQOL-lite) and physical activity, as well as measurements of VO Results: The study results showed that weight change after the end of the intervention could predict HRQOL whereas how much weight they lost during the intervention could not. Furthermore, almost all of the investigated physiological factors were related to participants' current HRQOL. Waist circumference showed relationships with four of the five aspects of HRQOL. Conclusion: Focusing on behavioural change, adhering to improved lifestyle and maintaining weight loss after the end of the intervention seem to be the key not only for cardio-metabolic risk factors but also for sustainable HRQOL.
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